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thtAn ideal interval method of multi-objective decision-making for comprehensive assessment of water resources renewability

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Abstract

In order to estimate water resources renewability scientifically, an Ideal Interval Method of Multiple Objective Decision-Making (IIMMODM) is presented. This method is developed through improving an ideal point method of multiple objective decision-making. The ideal interval is obtained with assessment standard instead of ideal points. The weights are decided by using the basic point and gray code accelerating genetic algorithm. This method has synthesized the expert’s suggestion and avoided giving a mark for the objective again. It could solve the complicated problem of compatible or incompatible multi-objective assessment. The principle of IIMMODM is presented in this paper. It is used to assess the water resources renewability for nine administrative divisions in the Yellow River basin. The result shows that the water resources renewability in the Yellow River basin is very low. Compared with the gray associate analysis method, fuzzy synthesis method and genetic projection pursuit method, the IIMMODM is easier to use. Compared with the ideal point method of multiple objective decision-making, the IIMMODM has good robustness, which is applicable to the comprehensive assessments of water resources.

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Authors and Affiliations

  1. School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, 100875, Beijing, China

    Yang Xiaohua, Yang Zhifeng & Shen Zhenyao

  2. School of Environment, Key Laboratory for Water and Sediment Sciences of Ministry of Education, Beijing Normal University, 100875, Beijing, China

    Yang Zhifeng

  3. Water Resources and Hydropower Planning and Design General Institute, MWR, 100011, Beijing, China

    Li Jianqiang

Authors
  1. Yang Xiaohua
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  2. Yang Zhifeng
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  3. Shen Zhenyao
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  4. Li Jianqiang
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Yang, X., Yang, Z., Shen, Z. et al. thtAn ideal interval method of multi-objective decision-making for comprehensive assessment of water resources renewability. Sci. China Ser. E-Technol. Sci. 47 (Suppl 1), 42–50 (2004). https://doi.org/10.1360/04ez0004

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  • DOI: https://doi.org/10.1360/04ez0004

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